SRS Satellite Contributed Ocean Colour - MODIS - Aqua Chlorophyll Concentration in the Southern Ocean: Weekly, Johnson et al 2013

• Other Authors: AODN Data Manager (distributor), Australian Bureau of Meteorology (hasAssociationWith), CSIRO Oceans and Atmosphere - Hobart (hasAssociationWith), Data Officer (distributor), Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS) (hasAssociationWith), Integrated Marine Observing System (IMOS) (hasAssociationWith), Johnson, Robert (resourceProvider), King, Edward (resourceProvider)
• Format: Dataset
• Language: unknown
• Published: Australian Ocean Data Network
• Subjects: oceans; OCEAN COLOR; EARTH SCIENCE; OCEAN OPTICS; CHLOROPHYLL; OCEAN CHEMISTRY; IMOS Sub-Facility | SRS-MODIS | Aqua OC3 Chlorophyll-a Ocean Colour; Global / Oceans | Southern Ocean; Global / Oceans | Indian Ocean; Global / Oceans | Pacific Ocean; Marine Features (Australia) | Great Australian Bight; SA/WA; Marine Features (Australia) | Bass Strait; TAS/VIC; Global / Oceans | Atlantic Ocean; Regional Seas | Tasman Sea; States; Territories (Australia) | Western Australia; Countries | Australia; Territories (Australia) | South Australia; Territories (Australia) | Victoria; Territories (Australia) | New South Wales; Territories (Australia) | Tasmania; Countries | New Zealand; Continents | Antarctica; Countries | Chile; Countries | Argentina; Countries | Brazil; Countries | Uruguay; Countries | South Africa; Aqua; Concentration of inferred chlorophyll from relative fluorescence per unit volume of the water body; ocean colour radiometers; Antarc*; Antarctic; Antarctic Climate and Ecosystems Cooperative Research Centre; Antarctica; Institute for Marine and Antarctic Studies; Southern Ocean
• Online Access: https://researchdata.edu.au/srs-satellite-contributed-al-2013/685682

Statement: Original Rrs data were from MODIS-Aqua reprocessing R2013.0 NASA GSFC http://oceandata.sci.gsfc.nasa.gov/MODISA/Mapped/8Day/9km/Rrs/ ****NETCDF FILENAMING CONVENTION FOR AQUA FILES**** The filenaming scheme puts a lot of useful metadata into the filename with the aim of making it easy to parse by machine and eye. Folder D-20120802.G-0720.P-aqua.C-20120802082919.T-d263047n000000.S-m.E-definitive.Z-ok.R-20120802185051/ -- Folder D-20120802.G-0715.P-aqua.C-20120802111359.T-d549724n000000.S-mn.E-definitive.Z-ok.R-20120802185343/ -- Folder D-20120802.G-0710.P-aqua.C-20120802111224.T-d549724n000000.S-mn.E-definitive.Z-ok.R-20120802185344/ -- Folder D-20120802.G-0545.P-aqua.C-20120802101905.T-d549724n000000.S-na.E-definitive.Z-ok.R-20120802185437/ -- Folder D-20120802.G-0540.P-aqua.C-20120802101900.T-d549724n000000.S-cmna.E-definitive.Z-ok.R-20120802185314/ -- Folder D-20120802.G-0535.P-aqua.C-20120802101855.T-d549724n000000.S-cmna.E-definitive.Z-ok.R-20120802185436/ -- Folder D-20120802.G-0405.P-aqua.C-20120802084036.T-d549724n000000.S-qna.E-definitive.Z-ok.R-20120802185313/ -- Folder D-20120802.G-0400.P-aqua.C-20120802084028.T-d549724n000000.S-cqna.E-definitive.Z-ok.R-20120802185314/ Split the names on ‘.’, and then you have NAME-VALUE pairs where D = GMT Date G = GMT Acquisition P = Platform C = Creation date/time (yyyymmddhhmmss) T = number of modis packet types (d=day packets, n=night packets) S = contributing reception stations (a=Alice Springs, c=Crib Pt, m=Murdoch, q=AIMS, n=NASA DAAC) E = Ephemeris (predicted or definitive) Z = L1B processing status (should always be ok for these data) R = date/time of processing of L2 Chl granule (but I forget what R stands for) Credit Commonwealth Scientific and Industrial Research Organisation (CSIRO) Credit Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS) Credit Australian Research Council Centre of Excellence for Climate System Science Credit Antarctic Climate and Ecosystems Cooperative Research Centre (ACE CRC) Credit ...